Can Bu

Orcid: 0000-0003-1042-2162

According to our database1, Can Bu authored at least 14 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
CEM-Net: a lightweight network for psychological stress detection using wrist PPG signal.
Int. J. Mach. Learn. Cybern., April, 2026

Deep convolutional state space model as human activity recognizer.
Inf. Fusion, 2026

2025
Ensemble early exit network on human activity recognition using wearable sensors.
Comput. Networks, 2025

MASM-Net: A Multi-scale Adaptive Mamba Network for Cuffless Blood Pressure Estimation Using Photoplethysmographic Signals.
Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

High-Fidelity Character Animation: Generating Coherent and Controllable Motion Videos from Static Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024
A Collaborative Compression Scheme for Fast Activity Recognition on Mobile Devices via Global Compression Ratio Decision.
IEEE Trans. Mob. Comput., April, 2024

Dynamic Inference via Localizing Semantic Intervals in Sensor Data for Budget-Tunable Activity Recognition.
IEEE Trans. Ind. Informatics, March, 2024

An automatic network structure search via channel pruning for accelerating human activity inference on mobile devices.
Expert Syst. Appl., March, 2024

Learn From Others and Be Yourself in Federated Human Activity Recognition via Attention-Based Pairwise Collaborations.
IEEE Trans. Instrum. Meas., 2024

Dynamic instance-aware layer-bit-select network on human activity recognition using wearable sensors.
Eng. Appl. Artif. Intell., 2024

Plug-and-play multi-dimensional attention module for accurate Human Activity Recognition.
Comput. Networks, 2024

2023
FreqSense: Adaptive Sampling Rates for Sensor-Based Human Activity Recognition Under Tunable Computational Budgets.
IEEE J. Biomed. Health Informatics, December, 2023

ProtoHAR: Prototype Guided Personalized Federated Learning for Human Activity Recognition.
IEEE J. Biomed. Health Informatics, August, 2023

Learning hierarchical time series data augmentation invariances via contrastive supervision for human activity recognition.
Knowl. Based Syst., 2023


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